GraphSummit London 2025

  • October 2nd
    • London, UK
    • Summit

What to expect?

  • Proven Deployments: See how organisations leverage graph technology and AI to make better decisions
  • Hands-On Workshops: Build graph-backed apps or smart GraphRAG GenAI solutions
  • Product Roadmap Preview: Get an exclusive look at innovations and future direction with GraphAware Hume & Neo4j
  • Networking: Connect with peers and hear firsthand from those solving similar data and AI challenges

Meet GraphAware team at GraphSummit London 2025
2 October 2025 | County Hall ETC (4th floor), Belvedere Rd, London, SE1 7PB

Join us for a full day of insights and hands-on learning with graph technology and GenAI. Discover how to build AI-ready data foundations, production-grade GenAI apps, and drive real transformation.

We will be available throughout the day for chats, demos, and deep-dives into your challenges.
Want to lock in a time? Reach out to us in advance or simply drop by during the event.

See you there!

Exhibition at GraphSummit London 2025

  • Demo

Creating Knowledge Graph from Phone Forensics

We will demonstrate the ingestion of forensic phone extractions and their transformation into a knowledge graph.

Based on information content and graph connectivity, we will select the most relevant target entities. Then, we will extract key information from these target phones using cutting-edge AI, including LLMs. Finally, we will enrich the data using OSINT, providing unique context on the target entities.
Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.

Phone Forensics Schema
  • Demo

Knowledge Graph Extraction from Unstructured Data Using GPT

At our booth, we will also showcase a groundbreaking paradigm shift with Large Language Models (LLMs) utilised for extracting knowledge graphs from diverse unstructured data sources such as documents, judicial reports, investigator reports, and social media posts.

Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.

llm knowledge graph
  • Demo

Graph Powered Police Investigation

Stop by our booth to witness how Hume, powered by a graph database, revolutionises police investigations.

Our engineers will demonstrate how Hume seamlessly integrates disparate data sources, employs advanced analytics like temporal and geospatial analysis, and empowers investigators with intuitive visualisations. From identifying prime suspects to monitoring offenders and identifying threats, Hume streamlines the entire investigative process.

Analysts visiting our booth will experience the power of data linkage and complex querying firsthand, discovering how Hume, with its graph database backbone, can enhance their investigative efficiency.

Knowledge graph schema for criminal investigation

Let's Meet